Loan Customer Implementation usnig H2O

1. Building Smarter Application

2. What is a smart application?
Rule-based
Riged
Hard coded
Model-based
Evolves
Learning process

3. Objective
Combine Application with models

4. Architecture

5. How it works

7. Installation
Current environment
○ Ubuntu 16.04
○ Java 8
○ R
Terminal commands
$ cd ~/Downloads
$ unzip h2o-3.10.4.6.zip
$ cd h2o-3.10.4.6
$ java -jar h2o.jar

8. Implementation
H2O offers two ways for data prediction:
1. Using Code such as R, Java, Python, Coffeescript/Javascript, and Scala
2. Using the web interface Flow.

9. Question
What answer we’re looking for?
Would this client be
eligible for a loan and how
much interest would one
pay?

10. Data
● Club loans dates from 2007 to 2015 in United States
● The data used in the implementation is clean
● 163,987 Frames (instance or row)
● 15 Features (column)

11. Data Description in Flow

12. Simple Code in R

13. Loan Customer Implementation
$ gradle wrapper
$ ./gradlew build
$ ./gradlew jettyRunWar -x generateModels
Visit http://localhost:8080